• DocumentCode
    2992462
  • Title

    Intrusion Detection Model Based on Hierarchical Structure in Wireless Sensor Networks

  • Author

    Li, Lei ; Li, Yan-hui ; Fu, Dong-yang ; Ming Wan

  • Author_Institution
    Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    2816
  • Lastpage
    2819
  • Abstract
    In this paper, presents a intrusion detection model based on hierarchical structure in wireless sensor network. The model structure is simple and improves the security of wireless sensor networks; this model uses a multi-node with the idea of joint collaboration, intrusion detection nodes with anomaly detection algorithm. It shows through experiments with real data that the algorithm can lower the power consumption. This paper first analyzed the main features of the wireless sensor network; then set forth the most common intrusion detection architectures of wireless sensor network; as well as p resented their advantages and disadvantages in detail. And have studied the application of sensor networks to the intrusion detection problem and the related problems. Finally, the paper addressed some valuable directions for further research.
  • Keywords
    security of data; telecommunication security; wireless sensor networks; anomaly detection algorithm; intrusion detection architectures; power consumption; wireless sensor network security; Hidden Markov models; Immune system; Intrusion detection; Markov processes; Monitoring; Wireless sensor networks; intrusion detection; security; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.688
  • Filename
    5630494